from question: The BODYFAT dataset was developed using randomly selected... (it is already in the Chegg and here on website with data values sets)

1) Which of the following best describes the conclusion that one would come to based on this analysis? The explanatory power of this regression suggests that girth is [ Select: weak, moderate, not useful, excellent ] predictor of body fat percentage. The standard error of the regression suggests that girth [ Select: can not, can ] estimate body fat percentage to within 1.5% as does hydrostatic weighing. The 95% prediction interval for a person with a girth of 150cm [ Select: does not have, has ] a width of just under 25 percentage points, suggesting that this model [ Select: can not, can ] reasonably estimate usefully for an individual.